NOUMENOpen app
NOUMEN

Meta · Open weights

Llama 3.05 Storybreaker Ministral 70b

Added Jan 1, 2024Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

Much more inclined to output adult content than its predecessor. Great choice for novelty roleplay scenarios.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.49
Output
$0.49

Reference prices as published by the model provider. API example

Specifications

Context window
16.4K
Max output
8.2K
Average output (7 days)
63 tokens
Longer than 6% of 465 models

Side by side

Llama 3.05 Storybreaker Ministral 70b compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Llama 3.05 Storybreaker Ministral 70bMetaThis modelMuse Glimmer 30BMetaRemove
ProviderMetaMeta
Discovery tierOpen weightsOpen weights
AddedJan 1, 2024Aug 11, 2026
Limits
Context window16.38K131.07KBest
Max output8.19K—
Average output63 tokens682 tokens
Pricing, USD per 1M tokens
Input$0.49$0.35Best
Output$0.49Best$1.50
Cache read—$0.04
Performance
Throughput—70.8 tok/s
Time to first token—1.1 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—17.5
Coding Index—49.0
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
Reasoning effort—minimal, low, medium, high, xhigh

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Llama 3.05 Storybreaker Ministral 70b
  • Muse Glimmer 30B

Intelligence Index

  • Llama 3.05 Storybreaker Ministral 70b—
  • Muse Glimmer 30B17.5
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 49.0

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 6.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 0.8%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 477 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 783 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 10.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 83.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 22.0%

  • GPQA Diamond

    Graduate-level science questions

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 83.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 0.5%

  • SciCode

    Scientific computing in Python

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 44.9%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Glimmer 30B: 83.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Envoid/Llama-3.05-NT-Storybreaker-Ministral-70B",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="Envoid/Llama-3.05-NT-Storybreaker-Ministral-70B",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Meta

Other Meta models, starting with the same family.